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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Data-Snooping Biases in Backtesting
 Krpálek, Jan ; Bašta, Milan (advisor) ; Malá, Ivana (referee)
In this paper, we utilize White's Reality Check, White (2000), and Hansen's SPA test, Hansen (2004), to evaluate technical trading rules while quantifying the data-snooping bias. Secondly, we discuss the result with Probability of Backtest Overfitting framework, introduced by Bailey et al. (2015). Hence, the study presents a comprehensive test of momentum trading across the US futures markets from 2004 to 2016. The evidence indicates that technical trading rules have not been pro?table in the US futures markets after correcting for the data snooping bias.
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Currency Trading Strategies
 Krpálek, Jan ; Bašta, Milan (advisor) ; Žváčková, Lenka (referee)
My bachelor thesis is concerned with algorithmic trading on foreign exchange markets. Motivation is to create practical work which will cover basics for my ongoing work. From my perspective it is very important to describe assumptions which are necessary in order to properly understand functionality of automated trading. The initial theoretical part includes essential description of methods and tools for Technical Analysis and Money Management which are used afterwards. Further my aim is to show optimization process that is used by professional traders to achieve better and consistent trading results. Finally all calculations will be processed by the TradeStation trading platform and written in EasyLanguage. The end of my thesis includes complete algorithm, ready for immediate use.
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